{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A tutorial for the template Python package\n",
    "\n",
    "This notebook demonstrates the usage of the **template** Python package.\n",
    "\n",
    "* Author: Qiusheng Wu (https://wetlands.io | wqs@binghamton.edu)\n",
    "* GitHub repo: https://github.com/giswqs/python-geospatial\n",
    "* Viewable Notebook: https://github.com/giswqs/python-geospatial/blob/master/examples/template.ipynb\n",
    "* Interactive Notebook: [mybinder.org](https://mybinder.org/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb) | [binder.pangeo.io](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb)\n",
    "\n",
    "**Launch this tutorial as an interactive Jupyter Notebook on [mybinder.org](https://mybinder.org/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb) or [binder.pangeo.io](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb).**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of Contents\n",
    "\n",
    "* [Installation](#Installation)\n",
    "* [Getting data](#Getting-data)\n",
    "* [Using template](#Using-template)\n",
    "* [Displaying results](#Displaying-results)\n",
    "* [Credits](#Credits)\n",
    "* [Contact](#Contact)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installation\n",
    "\n",
    "\n",
    "The **template** Python package can be installed using the following command:\n",
    "\n",
    "`pip install template -U`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section demonstrates two ways to get data into Binder so that you can test the **template** Python package on the cloud using your own data. We will use the **[pygis](https://github.com/giswqs/pygis)** Python package to download data into Binder. \n",
    "\n",
    "* [Getting data from direct URLs](#Getting-data-from-direct-URLs) \n",
    "* [Getting data from Google Drive](#Getting-data-from-Google-Drive)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting data from direct URLs\n",
    "\n",
    "If you have data hosted on your own HTTP server or GitHub, you should be able to get direct URLs. With a direct URL, users can automatically download the data when the URL is clicked. For example https://github.com/giswqs/lidar/raw/master/examples/lidar-dem.zip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the following Python libraries and start getting data from direct URLs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pygis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a folder named *data* and set it as the working directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working directory: /home/jovyan/examples/data\n"
     ]
    }
   ],
   "source": [
    "root_dir = os.getcwd()\n",
    "work_dir = os.path.join(root_dir, 'data')\n",
    "if not os.path.exists(work_dir):\n",
    "    os.mkdir(work_dir)\n",
    "print(\"Working directory: {}\".format(os.path.realpath(work_dir)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Replace the following URL with your own direct URL hosting the data you would like to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://github.com/giswqs/lidar/raw/master/examples/lidar-dem.zip\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download data the from the above URL and unzip the file if needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading lidar-dem.zip ...\n",
      "Downloading done.\n",
      "Unzipping lidar-dem.zip ...\n",
      "Unzipping done.\n",
      "Data directory: /home/jovyan/examples/data/lidar-dem\n"
     ]
    }
   ],
   "source": [
    "pygis.download_from_url(url, out_dir=work_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You have successfully downloaded data to Binder. Therefore, you can skip to [Using template](#Using-template) and start testing **template** with your own data. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting data from Google Drive\n",
    "\n",
    "Alternatively, you can upload data to [Google Drive](https://www.google.com/drive/) and then [share files publicly from Google Drive](https://support.google.com/drive/answer/2494822?co=GENIE.Platform%3DDesktop&hl=en). Once the file is shared publicly, you should be able to get a shareable URL. For example, https://drive.google.com/file/d/1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Replace the following URL with your own shareable URL from Google Drive.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "gfile_url = 'https://drive.google.com/file/d/1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Download the shared file from Google Drive.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Google Drive file id: 1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh\n",
      "Downloading 1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh into /home/jovyan/examples/data/lidar-dem.zip... Done.\n",
      "Unzipping...Done.\n"
     ]
    }
   ],
   "source": [
    "pygis.download_from_gdrive(gfile_url, file_name='lidar-dem.zip', out_dir=work_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You have successfully downloaded data from Google Drive to Binder. You can now continue to [Using lidar](#Using-lidar) and start testing **lidar** with your own data. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using template"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here you can specify where your data are located. In this example, we will use [dem.tif](https://github.com/giswqs/lidar/blob/master/examples/lidar-dem/dem.tif), which has been downloaded to the *lidar-dem* folder."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Import the template package.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lidar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**List data under the data folder.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['dsm.tif', 'sink.tif', 'dem.tif']\n"
     ]
    }
   ],
   "source": [
    "data_dir = './data/lidar-dem/'\n",
    "print(os.listdir(data_dir))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Create a temporary folder to save results.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Output directory: /home/jovyan/examples/temp\n"
     ]
    }
   ],
   "source": [
    "out_dir = os.path.join(root_dir, \"temp\")\n",
    "if not os.path.exists(out_dir):\n",
    "    os.mkdir(out_dir)\n",
    "print(\"Output directory: {}\".format(os.path.realpath(out_dir)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Displaying results\n",
    "\n",
    "This section demonstrates how to display images on Jupyter Notebook. Three Python packages are used here, including [matplotlib](https://matplotlib.org/), [imageio](https://imageio.readthedocs.io/en/stable/installation.html), and [tifffile](https://pypi.org/project/tifffile/). These three packages can be installed using the following command:\n",
    "\n",
    "`pip install matplotlib imageio tifffile`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Import the libraries.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# comment out the third line (%matplotlib inline) if you run the tutorial in other IDEs other than Jupyter Notebook\n",
    "import matplotlib.pyplot as plt\n",
    "import imageio\n",
    "%matplotlib inline  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Display one single image.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "raster = imageio.imread(os.path.join(data_dir, 'dem.tif'))\n",
    "plt.imshow(raster)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Credits\n",
    "\n",
    "This interactive notebook is made possible by [MyBinder.org](https://mybinder.org/). Big thanks to [MyBinder.org](https://mybinder.org/) for developing the amazing binder platform, which is extremely valuable for reproducible research!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Contact\n",
    "\n",
    "If you have any questions regarding this tutorial or the **lidar** Python package, you can contact me (Dr. Qiusheng Wu) at wqs@binghamton.edu or https://wetlands.io/#contact"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
